LLM2026_DPO_SFT19_v11
This model is a LoRA adapter evolved from the highly intelligent SFT model makotonlo/LLM2026_SFT_finalv19_7B.
It has been fine-tuned using Direct Preference Optimization (DPO) to eliminate conversational chatter and enforce strict raw data output.
🎯 Optimization Goal (Strict No-Preamble)
The primary objective of this version is to ensure the model outputs ONLY raw data (JSON, XML, YAML, CSV) without any preambles, markdown backticks (```), or explanations, to comply with strict competition rules.
🛠 Training Configuration
- Base Intelligence: makotonlo/LLM2026_SFT_finalv19_7B (v19)
- Method: DPO (Direct Preference Optimization)
- Learning Rate: 5e-06 (Low LR to preserve structured logic)
- Beta: 0.1 (Strong penalty for conversational responses)
- Max Steps: 500
- LoRA Config: r=64, alpha=64
⚠️ Important: Usage Note
When using this model, please use the same strict prompt template used during training to ensure the output starts directly with {, [, or <.
Framework versions
